Machine Learning Engineer

Discovered MENA
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - London

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Location: Abu Dhabi (Relocation Required)

Tax-Free Salary: 35,000 - 45,000 AED (up to £115k P/A)


Discover the Opportunity

Are you ready to shape the future of AI? We’re seeking a talented and drivenMachine LearningEngineer to design and implement cutting-edge AI platforms. Collaborate with a global, multidisciplinary team to deliver impactful solutions across robotics, optimization, anomaly detection, and machine vision.


Discover the Responsibilities

As aMachine Learning Engineer, you will:

  • Utilize generative AI for data preparation, code creation, and idea validation.
  • Drive end-to-end development of Machine Learning features and projects.
  • Build proof-of-concepts using Deep Learning and traditional Data Science approaches.
  • Develop and optimize ML algorithms for real-world applications.
  • Work in a diverse, collaborative environment while ensuring compliance with QHSE and governance policies.


Discover the Requirements

  • Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, or related fields.
  • 5+ years of experience in AI/ML algorithm development and software engineering, including tools like NoSQL, Kubernetes, and Microservices.
  • Strong programming skills in Python and familiarity with other languages such as Go, Java, or C++.
  • Expertise in data structures, debugging, and optimizing ML pipelines for production.
  • Proficiency with Scikit-learn and deep learning frameworks like PyTorch, with experience in two or more domains:
  • NLP (semantic search, sentiment analysis, translation)
  • Image (OCR, detection, recognition)
  • Video (object tracking, anomaly detection)
  • Audio (speech-to-text, speaker recognition)
  • Recommendation Systems (retrieval, ranking, ad tech)


Looking to deliver innovative AI solutions and make a lasting impact. If you can work in Abu Dhabi(relocation required) Apply now!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.